2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

SPE-41: Voice Activity and Disfluency Detection

Session Type: Poster
Time: Thursday, 10 June, 15:30 - 16:15
Location: Gather.Town
Session Chair: Douglas O'Shaughnessy, INSR
 
SPE-41.1: SEP-28K: A DATASET FOR STUTTERING EVENT DETECTION FROM PODCASTS WITH PEOPLE WHO STUTTER
         Colin Lea; Apple
         Vikramjit Mitra; Apple
         Aparna Joshi; Apple
         Sachin Kajarekar; Apple
         Jeffrey Bigham; Apple
 
SPE-41.2: A HYBRID CNN-BILSTM VOICE ACTIVITY DETECTOR
         Nicholas Wilkinson; Stellenbosch University
         Thomas Niesler; Stellenbosch University
 
SPE-41.3: SELF-ATTENTIVE VAD: CONTEXT-AWARE DETECTION OF VOICE FROM NOISE
         Yong Rae Jo; Voithru
         Young Ki Moon; Voithru, Inha University
         Won Ik Cho; Seoul National University
         Geun Sik Jo; Inha University
 
SPE-41.4: PREVENTING EARLY ENDPOINTING FOR ONLINE AUTOMATIC SPEECH RECOGNITION
         Yingzhu Zhao; Nanyang Technological University
         Chongjia Ni; Alibaba Group
         Cheung-Chi Leung; Alibaba Group
         Shafiq Joty; Nanyang Technological University
         Eng Siong Chng; Nanyang Technological University
         Bin Ma; Alibaba Group
 
SPE-41.5: MARBLENET: DEEP 1D TIME-CHANNEL SEPARABLE CONVOLUTIONAL NEURAL NETWORK FOR VOICE ACTIVITY DETECTION
         Fei Jia; NVIDIA Corporation
         Somshubra Majumdar; NVIDIA Corporation
         Boris Ginsburg; NVIDIA Corporation
 
SPE-41.6: SPEECH ENHANCEMENT AIDED END-TO-END MULTI-TASK LEARNING FOR VOICE ACTIVITY DETECTION
         Xu Tan; Northwestern Polytechnical University
         Xiao-Lei Zhang; Northwestern Polytechnical University
 
SPE-41.7: ROBUST VOICE ACTIVITY DETECTION USING A MASKED AUDITORY ENCODER BASED CONVOLUTIONAL NEURAL NETWORK
         Nan Li; Tianjin university
         Longbiao Wang; Tianjin university
         Masashi Unoki; Japan Advanced Institute of Science and Technology
         Sheng Li; National Institute of Information and Communications Technology
         Rui Wang; Japan Advanced Institute of Science and Technology
         Meng Ge; Tianjin university
         Jianwu Dang; Japan Advanced Institute of Science and Technology and Tianjin University